Data Analyst (French Speaker) - CRM Lisboa

Overview

Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for Corporate & Investment Banking and Asset & Wealth Management, as well as transversal services that support all entities across the Group. With more than 3, 000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and
- functional way, supporting all business lines and platforms of the Group. A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale.

Role

The data engineer is a computer developer whose mission is to implement the collection and availability of data within the company. They are also responsible for industrializing and putting into production processes on the data (for example: providing dashboards, integrating statistical models) in collaboration with business teams and the teams that analyze them.

Main Tasks And Goals

• Production (50%)
  • Ensure production monitoring and maintenance - Feed the CRM and other recurring programs.
  • Ensure documentation of processes.
  • Automate manual processes if necessary.
  • Develop technical solutions that meet business needs.
• Management (25%)
  • Implement, monitor, and analyze key performance indicators (KPIs) for marketing campaigns.
  • Participate in the preparation and analysis of marketing campaign reports.
• Business Requests (20%)
  • Analyze and understand expressed business needs.
  • Prioritize requests based on their impact and the company’s priorities.
  • Respond to requests within the specified deadlines, proposing suitable solutions.
  • Rigorously document processes and analyses performed.
  • Implement automation solutions to optimize efficiency and task recurrence.
• Appendices (5%)
  • Conduct
    - depth ad hoc analyses.
  • Perform thorough analyses on Additional Business activities.
  • Actively participate in the migration of SAS systems to more modern technologies, in collaboration with the relevant teams.

Qualifications

• Holder of a higher education degree (Master's level minimum) in statistics, computer science, data science, finance, or a related field.
• Significant experience of at least three (3) years as a Data Analyst / Data Engineer, ideally acquired in the banking sector.
• Expert in data engineering: organize, automate, and optimize data production processes.
• Proven experience in managing complex data flows.
• Expert proficiency in SQL language.
• Advanced proficiency in Alteryx (Server and Desktop).
• Knowledge and ability to understand existing SAS scripts.
• Proficient in Microsoft Office Suite.
• In-depth knowledge of the banking sector.
• Proficient in Power BI for data visualization.
• Experience in project management, demonstrating the ability to manage multiple tasks simultaneously and meet deadlines.
• Fluent in English and French (minimum B2).

Soft Skills

• Communicative.
• Analytical and synthesis mindset.
• Critical sense and ability to identify errors and inconsistencies.
• Excellent interpersonal skills and the ability to communicate effectively with different types of stakeholders, especially in presenting results and recommendations.

We will only consider English CVs.

Additional Information

Our workplace reflects the vibrant spirit of our locations, with initiatives such as a Green Transportation Budget, electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club, a Prayer Room, a Lactation Room, and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies, we are committed to being inclusive, caring, and fair, ensuring every voice is heard and valued.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Banking

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